Accelerating Transdisciplinary Epidemiology of Colorectal Cancer Summary Tumor evolution is a heterogeneous process influenced by somatic molecular alterations, host immunity, diet, lifestyle, microbiota, and environment. Thus, I plan to take a transdisciplinary approach integrating molecular- level research, population-level study design, and assessment of environment, diet and lifestyle, utilizing my unique interdisciplinary expertise. I have been developing the transdisciplinary field of Molecular Pathological Epidemiology (MPE) with integrated strengths of both pathology and epidemiology. I will pursue two interconnecting synergistic Themes: (1) MPE of colorectal cancer (CRC) and (2) accelerating transdisciplinary epidemiology. In Theme 1, I will integrate tumor molecular and immunity analyses in 2,500 CRCs in the Nurses' Health Study (NHS), the NHS2 and the Health Professionals Follow-up Study (HPFS). I have successfully built an unprecedented high-dimensional CRC database on long-term exposures, tumor pathology, microbial, molecular and immunity data, and clinical outcome, to test the following broad-term hypotheses: (1.1) Dietary, lifestyle, environmental and genetic factors influence CRC incidence differentially by molecular, microbial and immunity subtypes. (1.2) CRC molecular features influence immune response to CRC. (1.3) CRC molecular and immunity status influences patient survival and response to drugs or modifiable dietary, lifestyle or environmental factors. (1.4) The degree of CRC intratumor heterogeneity is associated with worse prognosis and specific epidemiologic, clinical, and pathological features. We will extend our integrative research to various other settings to replicate findings and assess potential effect modifications by ethnic, socioeconomic and other factors. This project may identify potential strategies to target molecular alterations, immunity and microbiota for CRC prevention and therapy. My Theme 2 plans are; (2.1) to develop research frameworks, analysis designs and statistical methods, to address molecular and etiologic heterogeneity of cancer; (2.2) to grow the ongoing International MPE Meeting Series, to facilitate seamless transdisciplinary integration with a goal of making the STROBE-MPE guidelines; and (2.3) to synergize with experts and build new integrative transdisciplinary models, causal inference-MPE and MPE-health communication research. Thus, I aim to promote transdisciplinary integration of molecular pathology and population cancer science, and to address a critical unmet need to integrate analyses of cancer immunity, tumor molecular profiles (including microbiota and intratumor heterogeneity), modifiable exposures, genetics, and CRC incidence and death. I also try to address challenges in transdisciplinary epidemiology, including paucity of interdisciplinary experts and training programs, as well as lack of research guidelines in MPE. My unique qualifications and transdisciplinary research program can not only provide new insights on CRC etiologies in a population-based scale, but also develop novel methods / frameworks, and frontiers of population cancer science. As such, my proposed research will likely have major impacts on future research, clinical practice and public health.

Public Health Relevance

I plan to conduct Molecular Pathological Epidemiology (MPE) research on colorectal cancer (CRC) tumor characteristics, to gain insights into the role of environmental, diet, lifestyle, medical, screening and genetic factors in CRC incidence, mortality and clinical outcome. I will primarily utilize the resources of the Nurses' Health Study (NHS), the Nurses' Health Study II (NHS2), and the Health Professionals Follow-up Study (HPFS). I will also accelerate the field of transdisciplinary epidemiology with the goal of advancing several fronts of population cancer sciences to reduce suffering and death from cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Unknown (R35)
Project #
5R35CA197735-06
Application #
10020904
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Lam, Tram K
Project Start
2019-08-01
Project End
2022-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
6
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
da Silva, Annacarolina; Bowden, Michaela; Zhang, Sui et al. (2018) Characterization of the Neuroendocrine Tumor Immune Microenvironment. Pancreas 47:1123-1129
Liu, Li; Tabung, Fred K; Zhang, Xuehong et al. (2018) Diets That Promote Colon Inflammation Associate With Risk of Colorectal Carcinomas That Contain Fusobacterium nucleatum. Clin Gastroenterol Hepatol 16:1622-1631.e3
AlDubayan, Saud H; Giannakis, Marios; Moore, Nathanael D et al. (2018) Inherited DNA-Repair Defects in Colorectal Cancer. Am J Hum Genet 102:401-414
Yang, Wanshui; Liu, Li; Masugi, Yohei et al. (2018) Calcium intake and risk of colorectal cancer according to expression status of calcium-sensing receptor (CASR). Gut 67:1475-1483
Fadelu, Temidayo; Zhang, Sui; Niedzwiecki, Donna et al. (2018) Nut Consumption and Survival in Patients With Stage III Colon Cancer: Results From CALGB 89803 (Alliance). J Clin Oncol 36:1112-1120
Hamada, Tsuyoshi; Khalaf, Natalia; Yuan, Chen et al. (2018) Prediagnosis Use of Statins Associates With Increased Survival Times of Patients With Pancreatic Cancer. Clin Gastroenterol Hepatol 16:1300-1306.e3
Hamada, Tsuyoshi; Liu, Li; Nowak, Jonathan A et al. (2018) Vitamin D status after colorectal cancer diagnosis and patient survival according to immune response to tumour. Eur J Cancer 103:98-107
Tabung, Fred K; Liu, Li; Wang, Weike et al. (2018) Association of Dietary Inflammatory Potential With Colorectal Cancer Risk in Men and Women. JAMA Oncol 4:366-373
Qian, Zhi Rong; Rubinson, Douglas A; Nowak, Jonathan A et al. (2018) Association of Alterations in Main Driver Genes With Outcomes of Patients With Resected Pancreatic Ductal Adenocarcinoma. JAMA Oncol 4:e173420
Nevo, Daniel; Nishihara, Reiko; Ogino, Shuji et al. (2018) The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure. Lifetime Data Anal 24:425-442

Showing the most recent 10 out of 109 publications